58 citations · 59 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 1 cited
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation
Hai H. Tran, Sumyeong Ahn, Taeyoung Lee +1
In this paper, we study the problem of unsupervised domain adaptation that aims at obtaining a prediction model for the target domain using labeled data from the source domain and…
cs.AI2019★ 58 cited
Learning to Schedule Communication in Multi-agent Reinforcement Learning
Daewoo Kim, Sangwoo Moon, David Hostallero +4
Many real-world reinforcement learning tasks require multiple agents to make sequential decisions under the agents' interaction, where well-coordinated actions among the agents are…